In [9]:

    

%matplotlib inline
import matplotlib
import seaborn as sns
matplotlib.rcParams['savefig.dpi'] = 2 * matplotlib.rcParams['savefig.dpi']
from timing import fetch_results
import pandas as pd


    

In [19]:

    

results = fetch_results('http://localhost:8080')


    

    




Fetching root ...
Fetching sitemap ...
Seeding data ...
Flushing memchace ...
Querying ...

In [20]:

    

(pd.DataFrame(results)
    .set_index('route')
    ['length']
    .plot(kind='barh'))


    

    
Out[20]:





<matplotlib.axes._subplots.AxesSubplot at 0x1143f4d90>






    

In [21]:

    

(pd.DataFrame(results)
    .set_index('route')
    [['clock', 'request_time', 'time']]
    .plot(kind='barh'))


    

    
Out[21]:





<matplotlib.axes._subplots.AxesSubplot at 0x11473f150>